783-Active Learning for Transcriptomic Drug Discovery

Paper Talk · Apr 12, 2026 · 22m

This research introduces DrugReflector, a deep learning architecture designed to accelerate phenotypic drug discovery by linking disease biology with chemical interventions through transcriptomics. By utilizing a lab-in-the-loop active reinforcement learning framework, the system iteratively refines gene signatures to prioritize compounds likely to induce desired cellular changes. In experimental trials involving hematopoietic stem cells, this computational approach achieved hit rates over ten-fold higher than traditional random screening methods. The study further demonstrates the…